System Identification-Enhanced Visualization Tool for Infrastructure Monitoring and Maintenance

• Published in: Frontiers in built environment Vol. 6
• Main Authors: Singh, Premjeet, Sadhu, Ayan
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 28-05-2020
• Subjects: Autodesk; building information modeling; long-term monitoring; structural health monitoring; system identification; visualization
• ISSN: 2297-3362; 2297-3362
• DOI: 10.3389/fbuil.2020.00076

Today's complex modern infrastructure requires robust and autonomous condition assessment as they continue to age with increasing operational loads and extreme climatic events. Structural Health Monitoring (SHM) has recently gained significant interests in inspection and maintenance of large-scale structures. However, a large amount of raw data resulting from the data logger of these SHM systems require appropriate tools to visualize and diagnose the data systematically. Building Information Modeling (BIM) is a powerful data management tool that can be utilized as a base platform to analyze and visualize long-term SHM data. Current BIM-based approaches have the capabilities of facilitating design, production, and construction management of structures. BIM models in such approaches can serve as static information that contains as-built data. The objective of this paper is to take one step forward from static toward dynamic BIM by representing and visualizing real-time SHM data. The proposed framework developed in this study features an online visualization of data, real-time system identification, and efficient decision-making. In this paper, a steel bridge located in London, Ontario (Canada), is utilized as a case study where both BIM and SHM are integrated with a unified fashion. The proposed framework attempts to improve the visualization of SHM data and facilitates infrastructure owners in real-time tracking of critical transport infrastructure.